{"id":"W7126389236","doi":"10.1007/978-3-032-09195-6_3","title":"Antenna Element Design for Large-Scale Antenna Arrays","year":2025,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Beamforming; Directivity; Antenna (radio); Antenna array; Directional antenna; Boosting (machine learning); Antenna efficiency; Antenna measurement; Transmission (telecommunications); Omnidirectional antenna","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000173638,0.0007205929,0.0004645738,0.0002764411,0.0002004428,0.0008964959,0.0008701593,0.0009425805,0.01144103],"category_scores_gemma":[0.0004009373,0.0004162371,0.0003073379,0.0007334254,0.0003026662,0.001013348,0.0005258792,0.0009820239,0.009629745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004067423,"about_ca_system_score_gemma":0.0001749861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002184071,"about_ca_topic_score_gemma":0.0005779276,"domain_scores_codex":[0.9998047,0.00003679506,0.000005165924,0.00003202682,0.0001091704,0.00001225343],"domain_scores_gemma":[0.9998612,0.00005376046,0.000008830633,0.00002518592,0.0000461039,0.000004818852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006068243,0.00006981162,0.000267139,0.0007187555,0.00007060962,0.0001761573,0.0001536596,0.1207049,0.1086835,0.1594524,0.08470691,0.5249354],"study_design_scores_gemma":[0.00001635577,0.0001402947,0.0005635251,0.0001515816,0.00003632963,0.001145756,0.000100864,0.3055375,0.03410731,0.09668042,0.5614719,0.00004815263],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001011223,0.002458333,0.9420894,0.0002057304,0.0002887443,0.00002524603,0.00007554523,0.0005369311,0.05330882],"genre_scores_gemma":[0.07140614,0.008788387,0.6165847,0.0005906271,0.0005773223,0.0002317942,0.0005237831,0.0008406713,0.3004565],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01144103,"threshold_uncertainty_score":0.03827405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412104430429882,"score_gpt":0.2118108089412281,"score_spread":0.1976897646369292,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}